ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
1891
Single Precision Score
12693
Half Precision Score
27279
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | pig_10 |
| Upload Date | June 22 2025 01:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
680
126.4 IPS |
|
|
Image Classification (HP)
|
100% |
1269
236.1 IPS |
|
|
Image Classification (Q)
|
99% |
1732
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8028
130.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17005
276.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5414
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
71097
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
240530
281.9 IPS |
|
|
Object Detection (SP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (HP)
|
100% |
10910
865.4 IPS |
|
|
Object Detection (Q)
|
92% |
19465
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
1835
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
23731
282.0 IPS |
|
|
Face Detection (Q)
|
97% |
55579
662.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2312
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41369
318.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
101605
811.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12849
16.5 IPS |
|
|
Style Transfer (HP)
|
98% |
57490
74.1 IPS |
|
|
Style Transfer (Q)
|
98% |
257878
332.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1346
49.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28135
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58411
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (Q)
|
95% |
3328
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2162
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (Q)
|
67% |
5847
113.8 IPS |
